Building a brain atlas based on gabor texture features

Abstract

Brain atlas has become a primary means of computer aided neurological diagnosis. It relies on registering intra/inter-subject brain scans on a common frame of reference, on which statistical variability model is built. This diffeomorphic map of anatomically plausible correspondence could in turn be used for monitoring and identifying progress and manifestation of the disease, respectively. It is accepted that dense image registration is very accurate but computationally expensive. This paper thus presents a feature based image registration by using orientation invariant Gabor responses of texture. The reported results herein demonstrate that it is both anatomically accurate and robust.